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检索条件"机构=Key Laboratory of Computer Network and Information Integration in Southeast University"
661 条 记 录,以下是71-80 订阅
排序:
SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding
arXiv
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arXiv 2024年
作者: Wang, Zhenglin Wu, Jialong Lai, Yilong Zhang, Congzhi Zhou, Deyu School of Computer Science and Engineering Key Laboratory of Computer Network and Information Integration Ministry of Education Southeast University China
Large Language Models (LLMs) demonstrate remarkable emergent abilities across various tasks, yet fall short of complex reasoning and planning tasks. The tree-search-based reasoning methods address this by encouraging ... 详细信息
来源: 评论
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment
arXiv
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arXiv 2024年
作者: Zhang, Congzhi Zhang, Linhai Zhou, Deyu School of Computer Science and Engineering Key Laboratory of Computer Network and Information Integration Ministry of Education Southeast University China
Multi-hop fact verification aims to detect the veracity of the given claim by integrating and reasoning over multiple pieces of evidence. Conventional multi-hop fact verification models are prone to rely on spurious c... 详细信息
来源: 评论
Inaccurate Label Distribution Learning with Dependency Noise
arXiv
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arXiv 2024年
作者: Kou, Zhiqiang Wang, Jing Jia, Yuheng Geng, Xin MOE Key Laboratory of Computer Network and Information Integration School of Computer Science and Engineering Southeast University Nanjing China
In this paper, we introduce the Dependent Noise-based Inaccurate Label Distribution Learning (DN-ILDL) framework to tackle the challenges posed by noise in label distribution learning, which arise from dependencies on... 详细信息
来源: 评论
Compositional metric learning for multi-label classification
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Frontiers of computer Science 2021年 第5期15卷 1-12页
作者: Yan-Ping SUN Min-Ling ZHANG School of Computer Science and Engineering Southeast UniversityNanjing 210096China Key Laboratory of Computer Network and Information Integration(Southeast University) Ministry of EducationChina Collaborative Innovation Center for Wireless Communications Technology Nanjing 211100China
Multi-label classification aims to assign a set of proper labels for each instance,where distance metric learning can help improve the generalization ability of instance-based multi-label classification *** multi-labe... 详细信息
来源: 评论
ADACQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment
arXiv
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arXiv 2024年
作者: Lai, Yilong Wu, Jialong Zhang, Congzhi Sun, Haowen Zhou, Deyu School of Computer Science and Engineering Key Laboratory of Computer Network and Information Integration Ministry of Education Southeast University China
Conversational Query Reformulation (CQR) has significantly advanced in addressing the challenges of conversational search, particularly those stemming from the latent user intent and the need for historical context. R... 详细信息
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Deep Iterative Reconstruction network Based on Residual Constraint for Low-Dose CT Imaging  8
Deep Iterative Reconstruction Network Based on Residual Cons...
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8th International Conference on Systems and Informatics, ICSAI 2022
作者: Liu, Jin Kang, Yanqin Liu, Tao Zhang, TingYu Zhang, Yikun Anhui Polytechnic University School of Computer and Information Wuhu China Southeast University Ministry of Education Key Laboratory of Computer Network and Information Integration Nanjing China Southeast University School of Computer Science and Engineering Nanjing China
clinical low X-ray dose computed tomography (LDCT) scanner often induce high intensity strip artifact and spot nosie, compromising diagnoses and intervention plans. Recently, sparsely constrained and network learning-... 详细信息
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Binary decomposition: a problem transformation perspective for open-set semi-supervised learning  24
Binary decomposition: a problem transformation perspective f...
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Proceedings of the 41st International Conference on Machine Learning
作者: Jun-Yi Hang Min-Ling Zhang School of Computer Science and Engineering Southeast University Nanjing China and Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education China
Semi-supervised learning (SSL) is a classical machine learning paradigm dealing with labeled and unlabeled data. However, it often suffers performance degradation in real-world open-set scenarios, where unlabeled data...
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PROMIPL: A Probabilistic Generative Model for Multi-Instance Partial-Label Learning
PROMIPL: A Probabilistic Generative Model for Multi-Instance...
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IEEE International Conference on Data Mining (ICDM)
作者: Yin-Fang Yang Wei Tang Min-Ling Zhang School of Computer Science and Engineering Southeast University Nanjing China Key Laboratory of Computer Network Information Integration (Southeast University) Ministry of Education China
Multi-instance partial-label learning (MIPL) tackles scenarios where each training sample is represented as a multiinstance bag associated with a candidate label set. This set contains one true label and several false... 详细信息
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TPMARL-MSS Thought-Perception Multi-Agent Reinforcement Learning Meeting Scheduling System  25
TPMARL-MSS Thought-Perception Multi-Agent Reinforcement Lear...
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25th IEEE International Conferences on High Performance Computing and Communications, 9th International Conference on Data Science and Systems, 21st IEEE International Conference on Smart City and 9th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC/DSS/SmartCity/DependSys 2023
作者: Zhang, Jinsong Mao, Xiaoxuan Li, Lu Wu, Hanqian Joint Graduate School Southeast University Nanjing China College of Software Engineering Southeast University Nanjing China School of Cyber Science and Engineering Southeast University Nanjing China School of Cyber Science and Engineering Southeast University Key Laboratory of Computer Network and Information Integration of Ministry of Education Nanjing China
In today's evolving society, the increasing complexity and frequency of meetings necessitate advanced scheduling systems. Traditional methods are constrained by rigid prede-fined strategies, lack intelligent negot... 详细信息
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Early Prediction of Heart Disease via LSTM-XGBoost  23
Early Prediction of Heart Disease via LSTM-XGBoost
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9th International Conference on Computing and Artificial Intelligence, ICCAI 2023
作者: Zang, Xiaodong Du, Jin Song, Yuansheng School of Cyber Science and Engineering Qufu Normal University Key Laboratory of Computer Network and Information Integration Ministry of Education Southeast University Nanjing211189 China School of Cyber Science and Engineering Qufu Normal University China
With the development of information and technology, especially with the boom in big data, healthcare support systems are becoming much better. However, an early diagnosis is not an easy task because it is hard to find... 详细信息
来源: 评论